Swif.ai
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About
Swif.ai is a unified Mobile Device Management (MDM) and AI-governance platform designed to streamline endpoint security for scaling teams. Unlike traditional MDM tools that focus solely on device configuration, Swif integrates device management, real-time shadow IT discovery, and continuous compliance monitoring into a single interface. It supports a wide range of operating systems including macOS, Windows, and Linux, with mobile support for iOS and Android. The platform's core mission is to help organizations maintain control over their hardware fleet while ensuring every device adheres to strict security and compliance standards through automated policy enforcement. In practice, Swif operates by providing deep visibility into both hardware and software. Its standout feature is real-time Shadow IT and AI detection, which identifies unauthorized SaaS apps and generative AI tools being used across the network. For IT teams, the platform offers silent installers that allow for fleet-wide deployment or migration without user intervention. It automates the collection of audit-ready evidence for frameworks like SOC 2, ISO 27001, and HIPAA, syncing directly with compliance platforms like Vanta and Drata. Users can push policies, commands, and software updates to hundreds of endpoints simultaneously, significantly reducing the manual overhead typically associated with remote device management. The tool is specifically engineered for scaling teams, particularly those in highly regulated industries such as FinTech and HealthTech. It serves several distinct roles: Cybersecurity Directors use it to assess fleet health in real-time; IT Operations Managers leverage it to automate onboarding and offboarding workflows; and CISOs rely on its insights to mitigate risks associated with unmanaged AI usage. Additionally, its multi-tenant MSP console makes it a viable solution for Managed Security Service Providers who need to oversee security across multiple client environments from a centralized dashboard. What differentiates Swif from competitors is its native focus on AI governance and shadow IT. While most MDMs require third-party integrations or manual scripting to monitor app usage, Swif includes a lightweight browser extension and device-level monitoring to flag unauthorized tools instantly. It also bridges the gap between device management and compliance auditing, helping teams reach full device coverage and complete a significant portion of compliance controls in minutes rather than weeks. This combined approach ensures that security is managed at both the device and application layers simultaneously.
Pros & Cons
Automates up to 30% of compliance controls in under 5 minutes.
Provides native visibility into Shadow IT and generative AI tool usage at the device level.
Supports a wide range of Linux distributions including Ubuntu, Arch, and NixOS.
Offers silent installers for Mac and Windows for zero-user-intervention deployment.
Includes a free forever tier for small teams with up to two employees.
The Free plan is strictly limited to 2 employees and a single security policy.
Advanced features like AI-usage analytics and regional data residency are restricted to Enterprise tiers.
SSO provisioning via SCIM is not available on the Free, Lite, or Basic plans.
Zero-touch enrollment paths like ADE and Autopilot are excluded from the Free tier.
Use Cases
Cybersecurity Directors can gain real-time visibility into device posture and security policy adherence across a global remote fleet.
IT Operations Managers can automate the employee onboarding and offboarding checklist, including device retrieval and zero-touch provisioning.
Managed Security Service Providers (MSPs) can manage multiple client environments and security configurations from a single multi-tenant dashboard.
Compliance Officers can generate and export audit-ready evidence for SOC 2 and HIPAA directly to auditor platforms.
CISOs can monitor and govern the use of unauthorized generative AI tools to prevent data leaks and maintain internal governance standards.
Platform
Features
• multi-tenant console for msps
• ai-assisted security policy bot
• live terminal and remote desktop access
• zero-touch onboarding with apple abm and windows autopilot
• silent fleet-wide installation and migration
• automated soc 2, iso 27001, and hipaa evidence collection
• real-time shadow it and ai detection
• unified dashboard for macos, windows, and linux
FAQs
Does Swif.ai replace auditing tools like Vanta or Drata?
No, Swif.ai complements these tools by providing real-time device data and audit-ready evidence. It automates the collection of evidence that can then be synced directly to platforms like Vanta or Drata.
How does Swif handle unauthorized AI usage?
The platform flags unauthorized generative AI tools at the device and browser level in real-time. It can instantly notify IT, prompt users with policy messages, or automatically block tools based on configured rules.
How fast can I see results after deployment?
Most organizations discover unmanaged SaaS and AI tools within 30 minutes of setup. Full device coverage and policy enforcement can typically be achieved in less than 24 hours using silent installers.
Which operating systems are supported?
Swif supports macOS, Windows, and Linux for desktop environments. It also provides management capabilities for mobile platforms including iOS, iPadOS, and Android.
Can I migrate from my current MDM?
Yes, Swif’s silent installers are designed to make migration from other MDM providers painless and intervention-free. This allows for fleet-wide switching without disrupting employee workflows.
Pricing Plans
Lite
USD1.99 / per device per month• Unlimited employees
• HRIS Sync
• 3 Policies
• 1 Command
• Live Terminal
• Shadow IT Dashboard
• App Usage tracking
• Email support
Basic
USD7.50 / per seat per month• 2 Teams
• Unlimited devices
• 3 Device Groups
• 8 Policies
• 3 Applications
• Location Tracking
• Geo Fencing
• Chat support
Growth
USD11.00 / per seat per month• Unlimited Teams and Policies
• Software Provisioning
• Remote Desktop
• Compliance Marketplace
• AI-assisted Policy bot
• CVE monitoring
• Zero-Touch Onboarding
• Slack-Connect support
Enterprise
Unknown Price• Everything in Growth
• Volume pricing
• EU/AU/Gov Cloud residency
• Multi-tenancy
• Priority SLA
• Dedicated CSM
• Quarterly security reviews
• 24x7 phone support
Free
Free Plan• Up to 2 employees
• 1 Team
• 1 User Group
• 1 device per user
• 1 Device Group
• 1 Policy
• Basic MDM
• Help Center access
Job Opportunities
Sales Development Representative (SDR)
Simplify device compliance and security with a unified MDM platform that automates SOC 2 evidence, detects shadow IT, and governs AI usage across all endpoints.
Benefits:
Competitive Salary
Equity
Uncapped commissions
Comprehensive onboarding
Ongoing training
Experience Requirements:
1+ years experience
Other Requirements:
US citizen/visa only
Proactive mindset
Coachable attitude
Responsibilities:
Research and qualify prospective customers
Conduct outbound prospecting through email, LinkedIn, and phone
Engage prospects effectively communicating Swif.ai value proposition
Schedule qualified meetings and demos for Account Executives
Collaborate with sales and marketing teams to refine messaging
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Full-Cycle Sales AE
Simplify device compliance and security with a unified MDM platform that automates SOC 2 evidence, detects shadow IT, and governs AI usage across all endpoints.
Benefits:
Growth Opportunities
Competitive Compensation
Learning and development investment
Experience Requirements:
1+ years experience
Other Requirements:
US citizen/visa only
Smart & Resourceful
Tech-Savvy
Self-Starter
Trust Builder
Responsibilities:
Own the entire sales cycle from sourcing to closing
Build genuine, lasting relationships with prospects
Explore new frontiers and turn challenges into opportunities
Collaborate with product, marketing, and customer success
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Software Testing Engineer (QA)
Simplify device compliance and security with a unified MDM platform that automates SOC 2 evidence, detects shadow IT, and governs AI usage across all endpoints.
Benefits:
Autonomy to dive deep
Support to grow fast
Globally distributed team culture
Experience Requirements:
2+ years in software QA (manual and automated)
Other Requirements:
US citizenship/visa not required
Python or shell-scripting chops
Experience with modern QA methodologies and tools
Excellent written and spoken English
Responsibilities:
Create detailed test plans and cases for happy paths and edge cases
Design and build test-automation pipelines
Reproduce, document, and track defects
Partner with engineers and product managers to define requirements
Establish QA metrics like defect density and test coverage trends
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